Autonomous vehicle (AV) technology has the potential to provide a secure, robust and easy mode of transportation for the general public. A connected autonomous vehicle (CAV) is an AV that has vehicle communication capability, which improves the AV's situational awareness and allows it to collaborate with other AVs. As a result, CAV technology will improve the capabilities and robustness of AV, making it a promising potential transportation solution in the future 5G. This paper introduces a representative architecture of CAVs and surveys the latest research trends for 5G. It reviews the state-of-the-art and state-of-the-practice of the latest literature on autonomous vehicles (AV) technologies in 5G and it studies technologies trends and key technologies for Autonomous Driving. The main issues and unresolved problems are critically discussed based on the reviews to determine potential research directions. We have also presented different paradigms of Object Detection in the field of Autonomous driving.


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    Titel :

    Communication Trends, Research Challenges in Autonomous Driving and Different Paradigms of Object Detection


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:
    Zimmermann, Alfred (Herausgeber:in) / Howlett, R.J. (Herausgeber:in) / Jain, Lakhmi C. (Herausgeber:in) / Sharma, Teena (Autor:in) / Chehri, Abdellah (Autor:in) / Fortier, Paul (Autor:in)

    Kongress:

    International KES Conference on Human Centred Intelligent Systems ; 2023 ; Rome, Italy June 14, 2023 - June 16, 2023



    Erscheinungsdatum :

    2023-06-01


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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